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Record W4206001460 · doi:10.26676/jevtm.v5i3.227

Endovascular Instead of Open Surgical Repair of Axillosubclavian Artery Injuries: An Evolving Paradigm Shift

2022· article· en· W4206001460 on OpenAlexaff
Shreya Jalali, Derek J. Roberts, Megan Brenner, Joseph J. DuBose, Laura J. Moore, Adam Power

Bibliographic record

VenueJournal of Endovascular Resuscitation and Trauma Management · 2022
Typearticle
Languageen
FieldMedicine
TopicVascular Procedures and Complications
Canadian institutionsLondon Health Sciences CentreVictoria HospitalOttawa HospitalUniversity of OttawaWestern University
Fundersnot available
KeywordsMedicineParadigm shiftEndovascular surgerySurgerySAFERGeneral surgeryComputer science

Abstract

fetched live from OpenAlex

Axillosubclavian injuries (ASI) comprise a small proportion of vascular injuries, yet their morbidity and mortality is high. This is often attributable to non-compressible bleeding in the apical thorax, hemodynamic instability, and the anatomically challenging location of these vessels making them difficult to access and control quickly. While the traditional management of ASI was with open surgical repair (OSR), recent years have seen an evolution towards less invasive endovascular repair (EVR). In patients with these injuries, EVR may be a safer alternative that achieves similar immediate results with significantly lower complication and mortality rates than the highly morbid open surgical option. In this article, we review and compare the two approaches, providing an overview of patient selection, anatomic considerations, techniques, postoperative management, and outcomes. With the advent of EVTM and more trauma team members capable of endovascular management of vascular trauma, a paradigm shift towards EVR for ASI is taking place.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.773
Threshold uncertainty score0.599

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.304
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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